Evidence map›Paper›PMID 35024263›Full record

ArticleAgricultural and food economics2021

Civic universities and bottom-up approaches to boost local development of rural areas: the case of the University of Macerata.

Tomasi Sabrina, Cavicchi Alessio, Aleffi Chiara, Paviotti Gigliola, Ferrara Concetta, Baldoni Federica, Passarini Paolo

Abstract read
In one paragraph

Article in Agricultural and food economics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tomasi SabrinaDepartment of Education, Cultural Heritage and Tourism, University of Macerata, P.le Bertelli, 1, 62100 Macerata, Italy.
Cavicchi AlessioDepartment of Education, Cultural Heritage and Tourism, University of Macerata, P.le Bertelli, 1, 62100 Macerata, Italy.
Aleffi ChiaraDepartment of Education, Cultural Heritage and Tourism, University of Macerata, P.le Bertelli, 1, 62100 Macerata, Italy.
Paviotti GigliolaDepartment of Education, Cultural Heritage and Tourism, University of Macerata, P.le Bertelli, 1, 62100 Macerata, Italy.
Ferrara ConcettaDepartment of Education, Cultural Heritage and Tourism, University of Macerata, P.le Bertelli, 1, 62100 Macerata, Italy.
Baldoni FedericaDepartment of Education, Cultural Heritage and Tourism, University of Macerata, P.le Bertelli, 1, 62100 Macerata, Italy.
Passarini PaoloDepartment of Education, Cultural Heritage and Tourism, University of Macerata, P.le Bertelli, 1, 62100 Macerata, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this paper is to provide a review of the main roles HEIs can play in rural areas. A longitudinal case study about the civic engagement of the University of Macerata - UNIMC (Italy) is presented, by assessing its attempt to fulfil its third and fourth mission through the application of the Quadruple Helix and 3 Model and by implementing the Civic University's dimensions. Furthermore, these aspects have been investigated through the university-business collaboration and the community-academic-collaboration frameworks. More specifically, the paper focussed on UNIMC's commitment at a local level analysing its involvement in local and international projects for place and agri-food product marketing, place branding and rural development, promoted by a research team within the Department of Education, Cultural Heritage and Tourism.

Indexed as

Civic universityCo-creationQuadruple HelixRural areasSustainable development

Identifiers

PMID35024263
PMCPMC8328531

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.